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MLAB (Modeling LABoratory) is a multi-paradigm numerical computing environment and fourth-generation programming language. A proprietary programming language developed by Civilized Software, Inc., MLAB allows matrix manipulations, plotting of functions and data, and implementation of algorithms, and provides support for curve-fitting, differential equations, statistics and graphics. MLAB is intended for numerical computing, with special facilities for ordinary differential equation-solving (ODE-solving) and curve-fitting (non-linear regression.) It provides more than thirty command types and more than 450 built-in functions from the areas of elementary mathematics, transcendental functions, probability and statistics, linear algebra, optimization, cluster analysis, combinatorics, numeric input/output, and graphics. The usual low-level functions, e.g. sine, cosine, log, etc., are present, as well as functions performing more complex analyses, such as singular value decomposition, discrete Fourier transforms, solution of differential equation systems, non-parametric modeling and constrained non-linear optimization, among many others. A substantial collection of statistically-oriented functions, such as most common distribution functions and their inverses, are included, as well as robust graph creation features, supporting graphing of exceptionally complex functions. Many software packages can integrate ordinary differential equations numerically, but MLAB is one of the very few that also can adjust parameters and initial conditions. MLAB is equally facile at handling curve fitting, where the adjustments are linear or, as is the case with most differential equation models, nonlinear. MLAB is widely used in academic and research institutions as well as industrial enterprises. == History == MLAB was originally developed at the National Institute of Health in the late 1970s using Stanford's SAIL running on Digital Equipment Corporation (DEC) PDP-10 computers. The creators of MLAB founded Civilized Software, Inc. in 1985 and expanded MLAB in the late 1980s and early 1990s through the application of Small Business Innovation Research grants. MLAB was first adopted by researchers and practitioners in biochemistry, but quickly spread to many other domains. It is now also used in education, in particular the teaching of linear algebra, numerical analysis, and is popular amongst scientists involved in chemical kinetics analysis and modeling〔>(【引用サイトリンク】title=Chemical Kinetics: Simple Binding: F + G ⇋ B )〕 and compartmental modeling in pharmacological (including pharmacokinetics) and physiological research. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「MLAB」の詳細全文を読む スポンサード リンク
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